CN109977009B - Switch state control method and system based on rule engine - Google Patents

Switch state control method and system based on rule engine Download PDF

Info

Publication number
CN109977009B
CN109977009B CN201910146621.3A CN201910146621A CN109977009B CN 109977009 B CN109977009 B CN 109977009B CN 201910146621 A CN201910146621 A CN 201910146621A CN 109977009 B CN109977009 B CN 109977009B
Authority
CN
China
Prior art keywords
rule
target
rule expression
expression
cloud
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910146621.3A
Other languages
Chinese (zh)
Other versions
CN109977009A (en
Inventor
刘碧林
王小光
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Yunbu Games Network Technology Co ltd
Original Assignee
Shenzhen Yunbu Games Network Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Yunbu Games Network Technology Co ltd filed Critical Shenzhen Yunbu Games Network Technology Co ltd
Priority to CN201910146621.3A priority Critical patent/CN109977009B/en
Publication of CN109977009A publication Critical patent/CN109977009A/en
Application granted granted Critical
Publication of CN109977009B publication Critical patent/CN109977009B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/36—Preventing errors by testing or debugging software
    • G06F11/3604—Software analysis for verifying properties of programs
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Software Systems (AREA)
  • Computer Hardware Design (AREA)
  • Quality & Reliability (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the invention discloses a method and a system for controlling a switch state based on a rule engine, wherein the method comprises the following steps: the cloud pre-configures the condition items to generate an initial rule expression; the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end; the client acquires a target rule expression issued by the cloud and generates a target state of the switch according to the target rule expression. The light rule engine based on operators does not need to write complicated conditional expressions by users; the multi-terminal joint judgment introduces self-contained keywords and conditional sequences, and directly issues mathematical expressions to other terminals when the cloud terminal cannot determine the switch state, and the user terminal judges the multi-terminal joint judgment by itself, so that the simplified rule engine occupies less resources and can be used at the mobile terminal.

Description

Switch state control method and system based on rule engine
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and a system for controlling a switch state based on a rule engine.
Background
With the development of the mobile internet, various App layers are endless and various in functions. Apps often provide a personalized experience to the user through switch control, and the state of a switch is often determined by a number of factors. The switch state in the prior art is difficult to configure due to the influence of a plurality of factors, and when the switch state is influenced by dynamic factors, the switch state needs to be judged manually, so that the feedback efficiency is low.
The prior art is therefore still in need of further development.
Disclosure of Invention
Aiming at the technical problems, the invention provides a switch state control method and a switch state control system based on a rule engine, which can solve the technical problems that the switch state is difficult to configure due to the influence of a plurality of factors and the feedback efficiency is low due to the fact that the switch state needs to be judged manually when the switch state is influenced by dynamic factors in the prior art.
A first aspect of an embodiment of the present invention provides a rule engine-based on-off state control method, including:
the cloud pre-configures the condition items to generate an initial rule expression;
the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end;
the client acquires a target rule expression issued by the cloud and generates a target state of the switch according to the target rule expression.
Optionally, the cloud pre-configures the condition item to generate an initial rule expression, including:
the cloud selects a condition item, and configures each condition operation rule of the condition item;
setting the threshold value of each condition of the condition items, and storing the condition operation rule and the threshold value as an initial rule expression.
Optionally, submitting the initial rule expression to a rule engine, generating a target rule expression, and issuing the target rule expression to a user end;
submitting the initial rule expression to a rule engine, and inputting simulation parameters in the rule engine;
and outputting a corresponding expected value by the rule engine, taking the current initial rule expression as a target rule expression if the expected value is in a preset range, and issuing the target rule expression to a user end.
Optionally, the method includes that the user end obtains a target rule expression issued by the cloud end, and generates a target state of the switch according to the target rule expression, including:
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and the user end obtains a switch state by using the target rule expression;
if the switch state cannot be obtained, parameters of the user end are obtained, recalculation is performed according to the target rule expression, and the target state of the switch is generated.
Optionally, the condition items include channels, total payments, territories, blacklists, and whitelists.
A second aspect of an embodiment of the present invention provides a rule engine-based switch state control system, the system including: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of:
the cloud pre-configures the condition items to generate an initial rule expression;
the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end;
the client acquires a target rule expression issued by the cloud and generates a target state of the switch according to the target rule expression.
Optionally, the computer program when executed by the processor further implements the steps of:
the cloud selects a condition item, and configures each condition operation rule of the condition item;
setting the threshold value of each condition of the condition items, and storing the condition operation rule and the threshold value as an initial rule expression.
Optionally, the computer program when executed by the processor further implements the steps of:
submitting the initial rule expression to a rule engine, and inputting simulation parameters in the rule engine;
and outputting a corresponding expected value by the rule engine, taking the current initial rule expression as a target rule expression if the expected value is in a preset range, and issuing the target rule expression to a user end.
Optionally, the computer program when executed by the processor further implements the steps of:
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and the user end obtains a switch state by using the target rule expression;
if the switch state cannot be obtained, parameters of the user end are obtained, recalculation is performed according to the target rule expression, and the target state of the switch is generated.
A third aspect of the embodiments of the present invention provides a non-volatile computer-readable storage medium, where the non-volatile computer-readable storage medium stores computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the rule engine-based on-off state control method described above.
In the technical scheme provided by the embodiment of the invention, the cloud side configures the condition items in advance to generate an initial rule expression; the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end; the client acquires a target rule expression issued by the cloud and generates a target state of the switch according to the target rule expression. Therefore, compared with the prior art, the embodiment of the invention uses a light rule engine based on operators without writing complicated conditional expressions; the multi-terminal joint judgment introduces self-contained keywords and conditional sequences, and directly issues mathematical expressions to other terminals when the cloud terminal cannot determine the switch state, and the user terminal judges the multi-terminal joint judgment by itself, so that the simplified rule engine occupies less resources and can be used at the mobile terminal.
Drawings
FIG. 1 is a flow chart of an embodiment of a rule engine based switch state control method according to an embodiment of the present invention;
fig. 2 is a schematic hardware structure diagram of another embodiment of a rule engine-based switch state control system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating an embodiment of a rule engine-based switch state control method according to an embodiment of the invention. As shown in fig. 1, includes:
step S100, the cloud pre-configures the condition items to generate an initial rule expression;
step 200, the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end;
step S300, the user terminal obtains a target rule expression issued by the cloud terminal, and generates a target state of the switch according to the target rule expression.
Specifically, APP in the prior art has a problem that the configuration is difficult when the switch state of the mobile terminal is affected by a plurality of factors, and the feedback efficiency of the switch is low when the dynamic factors affect the change.
The cloud configuration center selects condition items, configures values of the conditions, generates a rule expression, and gives the rule expression to a rule engine for calculation to generate a new rule expression; and issuing the new rule expression to a using end, embedding own parameters by the using end, and delivering the parameters to a rule engine for calculation to generate the final state of the switch.
The condition items may be: channel, general payment, area, black/white list, etc.; the relational operators AND, OR, AND the operator selects the required condition configuration, AND the possible expression is channel in oppp, vivi AND pay >500,OR area in 518000.
The final result can be obtained by filling the values of the fields by the user end (client or other service calling end), and various if-else judgments are omitted.
And the user end acquires a rule expression, preliminarily judges the state of the switch, embeds the environment parameters of the user end if the environment parameters cannot be confirmed, calculates by a rule engine, and generates the final state of the switch.
The operator-based light rule engine is self-developed, and a user does not need to write a complex conditional expression; multi-terminal joint judgment, introducing self-contained keywords and conditional sequences, directly issuing mathematical expressions to other terminals when the cloud cannot determine the switch state, and automatically judging by a using terminal;
the simplified rule engine occupies less resources and can be used at the mobile terminal.
The step S100 specifically includes:
the cloud selects a condition item, and configures each condition operation rule of the condition item;
setting the threshold value of each condition of the condition items, and storing the condition operation rule and the threshold value as an initial rule expression.
Specifically, an operator configures at the cloud, the cloud selects a condition item, obtains each condition of the condition item, configures operation rules of each condition, configures a threshold of the condition, and stores the operation rules and the threshold of each condition as an initial rule expression.
Further, step S200 includes:
submitting the initial rule expression to a rule engine, and inputting simulation parameters in the rule engine;
and outputting a corresponding expected value by the rule engine, taking the current initial rule expression as a target rule expression if the expected value is in a preset range, and issuing the target rule expression to a user end.
In specific implementation, cloud operators select condition items, configure values of the conditions, store the values as rules, input simulation values and view states in real time.
Further, the client obtains a target rule expression issued by the cloud, and generates a target state of the switch according to the target rule expression, including:
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and the user end obtains a switch state by using the target rule expression;
if the switch state cannot be obtained, parameters of the user end are obtained, recalculation is performed according to the target rule expression, and the target state of the switch is generated.
When the method is implemented, a user side acquires a rule expression, uses a rule engine to calculate for the first time, returns when the switch state can be confirmed, uses context parameters to recalculate when the switch state cannot be confirmed, uses the environment change to recalculate and switches the state;
after the operator configures the conditions, the server side can store the conditions in the database and generate a rule expression, the user side retrieves the expression to be stored locally through an http request, and the user side only needs to transmit the value into a recalculation result without judging the server side when the expression contains pay >500 and pay=100 and pay=600.
From the above method embodiments, the method of the present invention comprises: the cloud pre-configures the condition items to generate an initial rule expression; the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end; the client acquires a target rule expression issued by the cloud and generates a target state of the switch according to the target rule expression. The embodiment of the invention has the following technical advantages: the operator-based light rule engine is used for avoiding writing complex conditional expressions by users; multi-terminal joint judgment, introducing self-contained keywords and conditional sequences, directly issuing mathematical expressions to other terminals when the cloud cannot determine the switch state, and automatically judging by a using terminal; the simplified rule engine occupies less resources and can be used at the mobile terminal.
The rule engine-based on-off state control method in the embodiment of the present invention is described above, and the rule engine-based on-off state control system in the embodiment of the present invention is described below, referring to fig. 2, fig. 2 is a schematic hardware structure diagram of another embodiment of a rule engine-based on-off state control system in the embodiment of the present invention, as shown in fig. 2, the system 10 includes: memory 101, processor 102, and a computer program stored on the memory and executable on the processor, which when executed by processor 101, performs the steps of:
the cloud pre-configures the condition items to generate an initial rule expression;
the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end;
the client acquires a target rule expression issued by the cloud and generates a target state of the switch according to the target rule expression.
Specifically, APP in the prior art has a problem that the configuration is difficult when the switch state of the mobile terminal is affected by a plurality of factors, and the feedback efficiency of the switch is low when the dynamic factors affect the change.
The cloud configuration center selects condition items, configures values of the conditions, generates a rule expression, and gives the rule expression to a rule engine for calculation to generate a new rule expression; and issuing the new rule expression to a using end, embedding own parameters by the using end, and delivering the parameters to a rule engine for calculation to generate the final state of the switch.
The condition items may be: channel, general payment, area, black/white list, etc.; the relational operators AND, OR, AND the operator selects the required condition configuration, AND the possible expression is channel in oppp, vivi AND pay >500,OR area in 518000.
The final result can be obtained by filling the values of the fields by the user end (client or other service calling end), and various if-else judgments are omitted.
And the user end acquires a rule expression, preliminarily judges the state of the switch, embeds the environment parameters of the user end if the environment parameters cannot be confirmed, calculates by a rule engine, and generates the final state of the switch.
The operator-based light rule engine is self-developed, and a user does not need to write a complex conditional expression; multi-terminal joint judgment, introducing self-contained keywords and conditional sequences, directly issuing mathematical expressions to other terminals when the cloud cannot determine the switch state, and automatically judging by a using terminal;
the simplified rule engine occupies less resources and can be used at the mobile terminal.
Optionally, the computer program when executed by the processor 101 also implements the steps of:
the cloud selects a condition item, and configures each condition operation rule of the condition item;
setting the threshold value of each condition of the condition items, and storing the condition operation rule and the threshold value as an initial rule expression.
Specifically, an operator configures at the cloud, the cloud selects a condition item, obtains each condition of the condition item, configures operation rules of each condition, configures a threshold of the condition, and stores the operation rules and the threshold of each condition as an initial rule expression.
Optionally, the computer program when executed by the processor 101 also implements the steps of:
submitting the initial rule expression to a rule engine, and inputting simulation parameters in the rule engine;
and outputting a corresponding expected value by the rule engine, taking the current initial rule expression as a target rule expression if the expected value is in a preset range, and issuing the target rule expression to a user end.
In specific implementation, cloud operators select condition items, configure values of the conditions, store the values as rules, input simulation values and view states in real time.
Optionally, the computer program when executed by the processor 101 also implements the steps of:
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and the user end obtains a switch state by using the target rule expression;
if the switch state cannot be obtained, parameters of the user end are obtained, recalculation is performed according to the target rule expression, and the target state of the switch is generated.
When the method is implemented, a user side acquires a rule expression, uses a rule engine to calculate for the first time, returns when the switch state can be confirmed, uses context parameters to recalculate when the switch state cannot be confirmed, uses the environment change to recalculate and switches the state;
after the operator configures the conditions, the server side can store the conditions in the database and generate a rule expression, the user side retrieves the expression to be stored locally through an http request, and the user side only needs to transmit the value into a recalculation result without judging the server side when the expression contains pay >500 and pay=100 and pay=600.
Embodiments of the present invention provide a non-transitory computer-readable storage medium storing computer-executable instructions for execution by one or more processors, e.g., to perform the method steps S100-S300 of fig. 1 described above.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (4)

1. A method for controlling a switching state based on a rule engine, comprising:
the cloud pre-configures the condition items to generate an initial rule expression;
the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end;
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and a target state of a switch is generated according to the target rule expression;
the cloud pre-configures the condition items to generate an initial rule expression, which comprises the following steps:
the cloud selects a condition item, and configures each condition operation rule of the condition item;
setting a threshold value of each condition of the condition items, and storing a condition operation rule and the threshold value as an initial rule expression;
submitting the initial rule expression to a rule engine, generating a target rule expression, and issuing the target rule expression to a user end;
submitting the initial rule expression to a rule engine, and inputting simulation parameters in the rule engine;
the rule engine outputs a corresponding expected value, if the expected value is in a preset range, the current initial rule expression is used as a target rule expression, and the target rule expression is issued to a user end;
the client acquires a target rule expression issued by the cloud, and generates a target state of the switch according to the target rule expression, including:
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and the user end obtains a switch state by using the target rule expression;
if the switch state cannot be obtained, parameters of the user end are obtained, recalculation is performed according to the target rule expression, and the target state of the switch is generated.
2. The rule engine based on-off state control method of claim 1, wherein the condition items include channels, total payment, territories, blacklists and whitelists.
3. A rule engine based switch state control system, the system comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of:
the cloud pre-configures the condition items to generate an initial rule expression;
the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end;
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and a target state of a switch is generated according to the target rule expression;
the computer program when executed by the processor further performs the steps of:
the cloud selects a condition item, and configures each condition operation rule of the condition item;
setting a threshold value of each condition of the condition items, and storing a condition operation rule and the threshold value as an initial rule expression;
the computer program when executed by the processor further performs the steps of:
submitting the initial rule expression to a rule engine, and inputting simulation parameters in the rule engine;
the rule engine outputs a corresponding expected value, if the expected value is in a preset range, the current initial rule expression is used as a target rule expression, and the target rule expression is issued to a user end;
the computer program when executed by the processor further performs the steps of:
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and the user end obtains a switch state by using the target rule expression;
if the switch state cannot be obtained, parameters of the user end are obtained, recalculation is performed according to the target rule expression, and the target state of the switch is generated.
4. A non-transitory computer-readable storage medium storing computer-executable instructions which, when executed by one or more processors, cause the one or more processors to perform the rule engine-based switch state control method of any one of claims 1-2.
CN201910146621.3A 2019-02-27 2019-02-27 Switch state control method and system based on rule engine Active CN109977009B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910146621.3A CN109977009B (en) 2019-02-27 2019-02-27 Switch state control method and system based on rule engine

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910146621.3A CN109977009B (en) 2019-02-27 2019-02-27 Switch state control method and system based on rule engine

Publications (2)

Publication Number Publication Date
CN109977009A CN109977009A (en) 2019-07-05
CN109977009B true CN109977009B (en) 2023-04-25

Family

ID=67077542

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910146621.3A Active CN109977009B (en) 2019-02-27 2019-02-27 Switch state control method and system based on rule engine

Country Status (1)

Country Link
CN (1) CN109977009B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117114142B (en) * 2023-10-23 2024-05-03 深圳市华傲数据技术有限公司 AI-based data rule expression generation method, apparatus, device and medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107704265A (en) * 2017-09-30 2018-02-16 电子科技大学 A kind of configurable rule generating method of service-oriented stream
CN108229907A (en) * 2017-12-06 2018-06-29 链家网（北京）科技有限公司 A kind of regular variation and system based on expression formula engine
CN108292205A (en) * 2015-09-23 2018-07-17 太平洋资产评估公司 System and method for refining concept automatically according to mathematical problem and carrying out dynamic construction and test to mathematical problem according to multiple mathematical concepts

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10373066B2 (en) * 2012-12-21 2019-08-06 Model N. Inc. Simplified product configuration using table-based rules, rule conflict resolution through voting, and efficient model compilation
CN105446799A (en) * 2014-08-22 2016-03-30 阿里巴巴集团控股有限公司 Method and system for performing rule management in computer system
CN106933889B (en) * 2015-12-31 2020-07-14 华为技术有限公司 Configuration method, display method and client for screened rules
CN107645403B (en) * 2016-07-22 2020-07-03 阿里巴巴集团控股有限公司 Terminal rule engine device and terminal rule operation method
CN108512909A (en) * 2018-03-14 2018-09-07 日照职业技术学院 A kind of computer remote control system based on Internet of Things
CN108647049B (en) * 2018-03-18 2023-01-31 平安科技（深圳）有限公司 Configurable system, method, equipment and storage medium based on rule engine
CN108846630B (en) * 2018-05-25 2022-06-03 广州衡昊数据科技有限公司 Resource control system and method
CN108694564B (en) * 2018-06-07 2022-05-06 创新先进技术有限公司 Task state control method and device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108292205A (en) * 2015-09-23 2018-07-17 太平洋资产评估公司 System and method for refining concept automatically according to mathematical problem and carrying out dynamic construction and test to mathematical problem according to multiple mathematical concepts
CN107704265A (en) * 2017-09-30 2018-02-16 电子科技大学 A kind of configurable rule generating method of service-oriented stream
CN108229907A (en) * 2017-12-06 2018-06-29 链家网（北京）科技有限公司 A kind of regular variation and system based on expression formula engine

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Tatsuhiro Chiba等.ConfAdvisor: A Performance-centric Configuration Tuning Framework for Containers on Kubernetes.《2019 IEEE International Conference on Cloud Engineering (IC2E)》.2019,第168 - 178页. *
苏经纬.混合云规则引擎的设计与实现.《cnki优秀硕士学位论文全文库 信息科技辑》.2018,(第10期),第I139-99页. *

Also Published As

Publication number Publication date
CN109977009A (en) 2019-07-05

Similar Documents

Publication Publication Date Title
CN108595207A (en) A kind of gray scale dissemination method, regulation engine, system, terminal and storage medium
CN109271078A (en) Content share method, terminal device and storage medium
JP2018525751A (en) Interactive control method and apparatus for voice and video calls
CN112703720B (en) Default filter setting system and method for device control applications
CN106649482A (en) Information push method and device
CN109033302A (en) A kind of method for page jump, device, terminal and storage medium
US20160154644A1 (en) Real-time previewing and modifying an application under development
CN109788029A (en) Gray scale call method, device, terminal and the readable storage medium storing program for executing of micro services
CN109977009B (en) Switch state control method and system based on rule engine
CN111737636B (en) Path curve generation method, device, computer equipment and storage medium
CN104270399A (en) Login method and login device for application program
CN115185434A (en) Vehicle application scene processing method, device, equipment and storage medium
CN111144878B (en) Instruction generation method and instruction generation device
CN115688715A (en) Report generation method and device and computer readable medium
CN103544357B (en) The implementation method of the calculating task of ANSYS and device
CN105100244A (en) Head portrait setting method and apparatus
CN113419865A (en) Cloud resource processing method, related device and computer program product
CN110892430A (en) Analysis and data visualization through file attachments
CN111652382B (en) Data processing method, device and equipment based on block chain and storage medium
CN112242909B (en) Method and device for generating management template, electronic equipment and storage medium
CN112685481B (en) Data processing method and device
CN111767316A (en) Target task processing method and device and electronic equipment
CN111338545A (en) Image processing method, assembly, electronic device and storage medium
CN109324824A (en) Process version-switching method, device and computer equipment
CN108804437B (en) Data display method and device, computer readable storage medium and electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: A Rule Engine Based Switch State Control Method and System

Effective date of registration: 20231024

Granted publication date: 20230425

Pledgee: Shenzhen SME financing Company limited by guarantee

Pledgor: SHENZHEN YUNBU GAMES NETWORK TECHNOLOGY CO.,LTD.

Registration number: Y2023980062650

PE01 Entry into force of the registration of the contract for pledge of patent right